{"created":"2024-03-28T05:46:27.753406+00:00","id":2000050,"links":{},"metadata":{"_buckets":{"deposit":"69180fb7-7ec7-4399-bd54-1611b3193290"},"_deposit":{"created_by":10,"id":"2000050","owner":"10","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"2000050"},"status":"published"},"_oai":{"id":"oai:kyukyo.repo.nii.ac.jp:02000050","sets":["6:1711603669927"]},"author_link":[],"control_number":"2000050","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"6","bibliographicPageStart":"1","bibliographicVolumeNumber":"14","bibliographic_titles":[{"bibliographic_title":"九州共立大学研究紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Study journal of Kyushu Kyoritsu University","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"18歳人口の減少が影響を及ぼし，大学への進学者数が減少すると予測されている．そのため，私立大学間の学生\n確保競争が激化し，大学法人の経営は今後一層の困難が予想される．さらに，中途退学の低下を通じて，中途退学\nの予防に取り組むことは，授業料収入の減少を防ぐだけでなく，受験生に対しても魅力的な大学としてのイメージ\nを向上させる助けとなることが期待される．そこで，本研究では，機械学習の手法の１つであるランダムフォレス\nト(Extra Trees Classifier)を用いて，15週間分の出席率情報から中途退学者の予測モデルの構築を試みた．結果，\n約90%という高い精度で予測をすることに成功した．さらに，5週間分の出席率情報のみを用いた場合は，予測精\n度が約80%であることが明らかになった。これらの成果は，今後の大学運営方針の策定や学生支援体制の強化に向\nけて，有益な示唆を提供するものと期待される．","subitem_description_language":"ja","subitem_description_type":"Abstract"}]},"item_10002_full_name_3":{"attribute_name":"著者（英）","attribute_value_mlt":[{"names":[{"name":"Yoshito SHIMAJIRI","nameLang":"en"},{"name":"Tooru DOUNOSAKI","nameLang":"en"}]}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.15093/0002000050","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"九州共立大学","subitem_publisher_language":"ja"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12533413","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"21860483","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"島尻　芳人","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"堂野崎　融","creatorNameLang":"ja"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-03-28"}],"filename":"kiyo14-2-2.pdf","filesize":[{"value":"1.4 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"url":"https://kyukyo.repo.nii.ac.jp/record/2000050/files/kiyo14-2-2.pdf"},"version_id":"91358f1d-fb5d-4945-8ec0-0e4fb30f7032"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"機械学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Institutional Research","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"中途退学予防","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"機械学習を用いた出席率からの中途退学者予測モデルの構築","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた出席率からの中途退学者予測モデルの構築","subitem_title_language":"ja"},{"subitem_title":"Dropout Prediction Modeling from attendance rate Using Machine Learning","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"10","path":["1711603669927"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-28"},"publish_date":"2024-03-28","publish_status":"0","recid":"2000050","relation_version_is_last":true,"title":["機械学習を用いた出席率からの中途退学者予測モデルの構築"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2024-05-30T06:47:55.676025+00:00"}